Title :
Low Density Lattice Codes
Author :
Sommer, Naftali ; Feder, Meir ; Shalvi, Ofir
Author_Institution :
Dept. of Electr. Eng., Tel Aviv Univ.
Abstract :
Low density lattice codes (LDLC) are novel lattice codes that can approach the capacity of the additive white Gaussian noise (AWGN) channel and be decoded efficiently. In LDLC a codeword x is generated directly at the n-dimensional Euclidean space as a linear transformation of a corresponding integer message vector b, i.e., x = Gb, where H = G -1 is restricted to be sparse. The fact that H is sparse is utilized to develop a linear-time iterative decoding scheme which attains, as demonstrated by simulations, good error performance within ~ 0.5 dB from capacity at block length of n = 100,000 symbols. The paper also discusses convergence results and implementation considerations
Keywords :
AWGN channels; channel coding; iterative decoding; linear codes; matrix algebra; transforms; AWGN channel; additive white Gaussian noise channel; codeword; integer message vector; linear transformation; linear-time iterative decoding scheme; low density lattice codes; n-dimensional Euclidean space; AWGN channels; Additive white noise; Algebra; Channel capacity; Convergence; Iterative decoding; Lattices; Linear code; Parity check codes; Vectors;
Conference_Titel :
Information Theory, 2006 IEEE International Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
1-4244-0505-X
Electronic_ISBN :
1-4244-0504-1
DOI :
10.1109/ISIT.2006.261680